Triple
T20301397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaxzevria COVID-19 vaccine |
E505486
|
entity |
| Predicate | doseInterval |
P26891
|
FINISHED |
| Object | 4 to 12 weeks |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 4 to 12 weeks | Statement: [Vaxzevria COVID-19 vaccine, doseInterval, 4 to 12 weeks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doseInterval Context triple: [Vaxzevria COVID-19 vaccine, doseInterval, 4 to 12 weeks]
-
A.
dosingInterval
chosen
Indicates the time period that should elapse between consecutive doses of a medication or treatment.
-
B.
typicalDosingFrequency
Indicates how often a treatment or medication is usually administered within a standard dosing regimen.
-
C.
doseRegimen
Indicates the specific schedule, frequency, and amount with which a dose of a substance or medication is to be administered.
-
D.
hasDosingRegimen
Indicates that an entity is associated with a specific dosing regimen, defining how and when a dose is to be administered.
-
E.
dosageStyle
Indicates the manner or pattern in which a dose of a substance (such as a medication) is administered or taken.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6770c700c81909da247cef0d0f1eb |
completed | April 20, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:17 a.m.